=== Initializing the Game ===

1. Creating ONE Environment   

2. Creating ONE AI Agent      

3. Initial Agent State:       
Energy: 80/100
Knowledge: 60/100
Position: (0, 0, 0)
Task: navigate_and_analyze    

4. Starting Cognitive Cycles  

=== Cognitive Cycle 1 ===     

🧠 Starting cognitive cycle...

🔍 PERCEPTION SPACE
Environment Analysis:
- Room type: indoor_room
- Objects detected: 3
- Lighting condition: natural_daylight

Self State Analysis:
- Current position: (0, 0, 0)
- Energy level: 80/100
- Knowledge level: 60/100

Distance Analysis:
- Distance to flower_vase: 28.3 units
- Distance to clothing_rack: 113.1 units
- Distance to window: 122.5 units

📋 PLANNING SPACE
Available Plans:

- Move directly towards target
  Energy required: 5
  Energy gain: 0
  Success probability: 0.8

- Explore environment while moving
  Energy required: 8
  Energy gain: 0
  Success probability: 0.9
  Knowledge gain: 5

- Take energy-efficient path
  Energy required: 3
  Energy gain: 0
  Success probability: 0.7

- Rest to recover energy
  Energy required: 0
  Energy gain: 10
  Success probability: 1.0

🤔 REASONING SPACE
Decision Analysis:
- Selected plan: Explore environment while moving
- Confidence score: 0.79
- Energy state: sufficient

⚡ ACTION SPACE
Explored and moved to: (1.0, 1.0, 1.0)
Analyzed environment and gathered data

Action Results:
- Energy level: 72/100
- Knowledge level: 65/100
- Current position: (1.0, 1.0, 1.0)

📊 State Changes:
Position: (0, 0, 0) -> (1.0, 1.0, 1.0)
Energy: 80 -> 72
Knowledge: 60 -> 65

Distance to target: 171.5 units

=== Cognitive Cycle 2 ===

🧠 Starting cognitive cycle...

🔍 PERCEPTION SPACE
Environment Analysis:
- Room type: indoor_room
- Objects detected: 3
- Lighting condition: natural_daylight

Self State Analysis:
- Current position: (1.0, 1.0, 1.0)
- Energy level: 72/100
- Knowledge level: 65/100

Distance Analysis:
- Distance to flower_vase: 26.9 units
- Distance to clothing_rack: 111.7 units
- Distance to window: 120.8 units

📋 PLANNING SPACE
Available Plans:

- Move directly towards target
  Energy required: 5
  Energy gain: 0
  Success probability: 0.8

- Explore environment while moving
  Energy required: 8
  Energy gain: 0
  Success probability: 0.9
  Knowledge gain: 5

- Take energy-efficient path
  Energy required: 3
  Energy gain: 0
  Success probability: 0.7

- Rest to recover energy
  Energy required: 0
  Energy gain: 10
  Success probability: 1.0

🤔 REASONING SPACE
Decision Analysis:
- Selected plan: Explore environment while moving
- Confidence score: 0.79
- Energy state: sufficient

⚡ ACTION SPACE
Explored and moved to: (2.0, 2.0, 2.0)
Analyzed environment and gathered data

Action Results:
- Energy level: 64/100
- Knowledge level: 70/100
- Current position: (2.0, 2.0, 2.0)

📊 State Changes:
Position: (1.0, 1.0, 1.0) -> (2.0, 2.0, 2.0)
Energy: 72 -> 64
Knowledge: 65 -> 70

Distance to target: 169.7 units

=== Cognitive Cycle 3 ===

🧠 Starting cognitive cycle...

🔍 PERCEPTION SPACE
Environment Analysis:
- Room type: indoor_room
- Objects detected: 3
- Lighting condition: natural_daylight

Self State Analysis:
- Current position: (2.0, 2.0, 2.0)
- Energy level: 64/100
- Knowledge level: 70/100

Distance Analysis:
- Distance to flower_vase: 25.5 units
- Distance to clothing_rack: 110.3 units
- Distance to window: 119.2 units

📋 PLANNING SPACE
Available Plans:

- Move directly towards target
  Energy required: 5
  Energy gain: 0
  Success probability: 0.8

- Explore environment while moving
  Energy required: 8
  Energy gain: 0
  Success probability: 0.9
  Knowledge gain: 5

- Take energy-efficient path
  Energy required: 3
  Energy gain: 0
  Success probability: 0.7

- Rest to recover energy
  Energy required: 0
  Energy gain: 10
  Success probability: 1.0

🤔 REASONING SPACE
Decision Analysis:
- Selected plan: Explore environment while moving
- Confidence score: 0.79
- Energy state: sufficient

⚡ ACTION SPACE
Explored and moved to: (3.0, 3.0, 3.0)
Analyzed environment and gathered data

Action Results:
- Energy level: 56/100
- Knowledge level: 75/100
- Current position: (3.0, 3.0, 3.0)

📊 State Changes:
Position: (2.0, 2.0, 2.0) -> (3.0, 3.0, 3.0)
Energy: 64 -> 56
Knowledge: 70 -> 75

Distance to target: 168.0 units

=== Final Agent Status ===
Cycles completed: 3
Final position: (3.0, 3.0, 3.0)
Final energy: 56/100
Final knowledge: 75/100
Distance to target: 168.0

=== Research Metrics ===
Pruning Effectiveness:
- perception_nodes: 3
- planning_nodes: 3
- reasoning_nodes: 3
- action_nodes: 3
- total_nodes: 12

Performance Impact:
- energy_efficiency: 70.0%
- knowledge_gain: 15
- distance_covered: 5.20 units
- average_step_size: 1.73 units